Learning Analytics

Author:

Bodea Constanţa-Nicoleta1,Dascalu Maria-Iuliana2,Mogos Radu Ioan1,Stancu Stelian1

Affiliation:

1. Bucharest University of Economic Studies, Romania

2. University Politehnica of Bucharest, Romania

Abstract

Reinforcement of technology-enhanced education transformed education into a data-intensive domain. As in many other data-intensive domains, the interest for data analysis through various analytics is growing. The chapter starts by defining learning analytics (LA), with relevant views on the literature. A discussion about the relationships between LA, educational data mining, and academic analytics is included in the background section. In the main section of the chapter, the learning analytics, as an emerging trend in the educational systems is described by discussing the main issues, controversies, and problems on this topic. The final part of the chapter presents the future research directions and the conclusion.

Publisher

IGI Global

Reference38 articles.

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4. The State of Educational Data Mining in 2009: A Review and Future Visions;R. S. J. D.Baker;Journal of Educational Data Mining,2009

5. Bienkowski, M., Feng, M., & Means, B. (2012). Enhancing teaching and learning through educational data mining and learning analytics: An issue brief. US Department of Education, Office of Educational Technology.

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